DocumentCode
2493677
Title
Energy efficient cooperative MIMO in wireless sensor network
Author
Islam, Mohammad Rakibul ; Kim, Jinsang
Author_Institution
Dept. of Electron. & Radio Eng., Kyung Hee Univ., Yongin
fYear
2008
fDate
15-18 Dec. 2008
Firstpage
505
Lastpage
510
Abstract
An energy efficient cooperative MIMO technique is proposed in the wireless sensor networks where fixed constellation size is considered in transmitting both the local and long haul communication. A selection criteria is used here based on the channel conditions where a selected numbers of sensors in a cluster are used to form a multiple input multiple output (MIMO) structure wirelessly connected with multiple antennas of a data gathering node (DGN). The selected approach is tested on the correlated data scenario. Experimental results show that the selected cooperative MIMO (C-MIMO) structure outperforms the unselected C-MIMO in terms of total energy consumption and they show energy efficient performance over existing one when they are compared with SISO structure. Energy models are evaluated for this scenario while energy consumption and efficiency are compared for different combination of cluster size and selected number of sensors. Comparisons are shown for different fixed number of constellation sizes. The effect of correlation coefficient and inter sensor distance are analyzed.
Keywords
MIMO communication; antenna arrays; multifrequency antennas; wireless sensor networks; SISO structure; constellation size; correlation coefficient; data gathering node; energy consumption; energy efficient cooperative MIMO technique; intersensor distance; long haul communication; multiple antennas; multiple-input multiple-output structure; single-input single-output structure; wireless sensor network; Batteries; Circuits; Energy consumption; Energy efficiency; MIMO; Network-on-a-chip; Power engineering and energy; Signal processing; Transceivers; Wireless sensor networks; Cooperative technique; MIMO; energy efficiency; selective approach; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-3822-8
Electronic_ISBN
978-1-4244-2957-8
Type
conf
DOI
10.1109/ISSNIP.2008.4762039
Filename
4762039
Link To Document